E. J. Gallas

20.1k total citations
22 papers, 93 citations indexed

About

E. J. Gallas is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, E. J. Gallas has authored 22 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Nuclear and High Energy Physics and 9 papers in Information Systems and Management. Recurrent topics in E. J. Gallas's work include Distributed and Parallel Computing Systems (19 papers), Advanced Data Storage Technologies (17 papers) and Particle Detector Development and Performance (10 papers). E. J. Gallas is often cited by papers focused on Distributed and Parallel Computing Systems (19 papers), Advanced Data Storage Technologies (17 papers) and Particle Detector Development and Performance (10 papers). E. J. Gallas collaborates with scholars based in United Kingdom, France and Switzerland. E. J. Gallas's co-authors include A. Formica, S. Albrand, J. Cranshaw, Marcin Nowak, D. Malon, E. Vinek, M. Borodin, D. Barberis, J Fulachier and K. Pachal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Physics Conference Series.

In The Last Decade

E. J. Gallas

20 papers receiving 90 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. J. Gallas United Kingdom 7 85 45 42 10 2 22 93
D. Malon United States 7 100 1.2× 45 1.0× 51 1.2× 12 1.2× 2 1.0× 25 128
S. González de la Hoz Spain 6 87 1.0× 42 0.9× 44 1.0× 7 0.7× 3 1.5× 33 99
Carmela Cioffi Switzerland 3 80 0.9× 35 0.8× 38 0.9× 18 1.8× 2 1.0× 9 101
G Kuznetsov France 3 86 1.0× 34 0.8× 43 1.0× 19 1.9× 2 1.0× 4 103
Lee Lueking United States 6 90 1.1× 27 0.6× 34 0.8× 10 1.0× 2 1.0× 11 95
J Fulachier France 6 84 1.0× 40 0.9× 45 1.1× 9 0.9× 1 0.5× 15 85
F Lambert France 6 81 1.0× 39 0.9× 43 1.0× 8 0.8× 1 0.5× 13 82
G Castellani Switzerland 2 75 0.9× 28 0.6× 37 0.9× 19 1.9× 2 1.0× 4 93
N. Magini Switzerland 7 108 1.3× 35 0.8× 50 1.2× 22 2.2× 3 1.5× 24 120
M. Giffels Germany 6 77 0.9× 34 0.8× 35 0.8× 10 1.0× 1 0.5× 31 96

Countries citing papers authored by E. J. Gallas

Since Specialization
Citations

This map shows the geographic impact of E. J. Gallas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. J. Gallas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Gallas more than expected).

Fields of papers citing papers by E. J. Gallas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. J. Gallas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. J. Gallas. The network helps show where E. J. Gallas may publish in the future.

Co-authorship network of co-authors of E. J. Gallas

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Gallas. A scholar is included among the top collaborators of E. J. Gallas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. J. Gallas. E. J. Gallas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gallas, E. J., E. Alexandrov, Igor Alexandrov, et al.. (2024). Deployment and Operation of the ATLAS EventIndex for LHC Run 3. SHILAP Revista de lepidopterología. 295. 1018–1018. 2 indexed citations
2.
Alexandrov, E., Igor Alexandrov, D. Barberis, et al.. (2024). The ATLAS Event Picking Service and Its Evolution. Physics of Particles and Nuclei. 55(3). 437–440.
3.
Perez, M. Villaplana, E. Alexandrov, I. N. Aleksandrov, et al.. (2020). The ATLAS EventIndex and its evolution towards Run 3. Journal of Physics Conference Series. 1525(1). 12056–12056. 2 indexed citations
4.
Formica, A., et al.. (2020). An Information Aggregation and Analytics System for ATLAS Frontier. SHILAP Revista de lepidopterología. 245. 4032–4032. 2 indexed citations
5.
Rinaldi, L., A. Formica, E. J. Gallas, N. Öztürk, & S. Roe. (2019). Conditions evolution of an experiment in mid-life, without the crisis (in ATLAS). SHILAP Revista de lepidopterología. 214. 4052–4052. 4 indexed citations
6.
Gallas, E. J., et al.. (2017). An Oracle-based event index for ATLAS. Journal of Physics Conference Series. 898. 42033–42033. 3 indexed citations
7.
Borodin, M., et al.. (2015). Evolution of ATLAS conditions data and its management for LHC Run-2. Journal of Physics Conference Series. 664(4). 42005–42005. 1 indexed citations
8.
Barberis, D., J. Cranshaw, T. Doherty, et al.. (2014). The future of event-level information repositories, indexing, and selection in ATLAS. Journal of Physics Conference Series. 513(4). 42009–42009. 4 indexed citations
9.
Gallas, E. J., S. Albrand, M. Borodin, & A. Formica. (2014). Utility of collecting metadata to manage a large scale conditions database in ATLAS. Journal of Physics Conference Series. 513(4). 42020–42020. 9 indexed citations
10.
Barberis, D., et al.. (2014). The ATLAS EventIndex: an event Catalogue for Experiments Collecting Large Amounts of Data. 23–23. 1 indexed citations
11.
Malon, D., S. Albrand, E. J. Gallas, & G. A. Stewart. (2012). A programmatic view of metadata, metadata services, and metadata flow in ATLAS. Journal of Physics Conference Series. 396(5). 52052–52052. 1 indexed citations
12.
Gallas, E. J., S. Albrand, J Fulachier, et al.. (2012). Conditions and configuration metadata for the ATLAS experiment. Journal of Physics Conference Series. 396(5). 52033–52033. 11 indexed citations
13.
Barberis, D., F. Bujor, Dave Dykstra, et al.. (2012). Evolution of grid-wide access to database resident information in ATLAS using Frontier. Journal of Physics Conference Series. 396(5). 52025–52025. 10 indexed citations
14.
Albrand, S., E. J. Gallas, J Fulachier, & F Lambert. (2012). ATLAS File and Dataset Metadata Collection and Use. Journal of Physics Conference Series. 396(5). 52005–52005. 1 indexed citations
15.
Casey, B. C. K., M. Corcoran, K. DeVaughan, et al.. (2012). The D0 Run IIb luminosity measurement. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 698. 208–223. 4 indexed citations
16.
Ehrenfeld, W., R. M. Buckingham, J. Cranshaw, et al.. (2011). Using TAGs to speed up the ATLAS analysis process. Journal of Physics Conference Series. 331(3). 32007–32007. 7 indexed citations
17.
Buckingham, R. M., et al.. (2011). Metadata aided run selection at ATLAS. Journal of Physics Conference Series. 331(4). 42030–42030. 1 indexed citations
18.
Cranshaw, J., T. Çuhadar-Dönszelmann, E. J. Gallas, et al.. (2010). Event selection services in ATLAS. Journal of Physics Conference Series. 219(4). 42007–42007. 11 indexed citations
19.
Gallas, E. J., D. Malon, R. J. Hawkings, S. Albrand, & E. Torrence. (2010). An integrated overview of metadata in ATLAS. Journal of Physics Conference Series. 219(4). 42009–42009. 6 indexed citations
20.
Malon, D., J. Cranshaw, Marcin Nowak, et al.. (2010). The ATLAS TAGS database distribution and management – Operational challenges of a multi-terabyte distributed database. Journal of Physics Conference Series. 219(7). 72058–72058. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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